Whatever I try, I get: RuntimeError: Cannot find CUDA at CUDA_HOME: /usr/local/cuda. CUDA must be available in order to build the package. --- WARNING: Discarding https://files.pythonhosted.org/packag...
-- Could NOT find CUDA (missing: CUDA_CUDART_LIBRARY) (found version "10.0") CMake Warning at /home/ubuntu/minty99/libtorch/share/cmake/Caffe2/public/cuda.cmake:31 (message): Caffe2: CUDA cannot be found. Depending on whether you are building Caffe2 or a Caffe2 dependent library, the...
BTW: I get the error only if I try to compile all SDK examples at once from the SDK/C directory. I can compile them separately from the individual directories. I guess that cuda-install is not defined then. So what is -lcuda good for then??? What can I do? I installed Cuda Toolk...
错误Tensorflow ImportError: Could not find 'cudart64_100.dll'. Tensorflow版本和cudnn还有cuda需要对应,需要查看显卡他的cuda是什么版本的,一开始装错了Tensorflow的版本导致找不到包,安装变成2.4.0就可以适配cuda11.0了。 错误 环境 Anaconda\Scripts\pip-script.py is not present 使用conda强制安装pip condainsta...
cannot re-initialize CUDA in forked subprocess.To use CUDA with multiprocessing,you must use the ...,程序员大本营,技术文章内容聚合第一站。
But when I use-t cuda, FATAL ERROR occured and qdstrm is broken. nvidia@tegra-ubuntu:/usr/local/cuda/samples/0_Simple/vectorAdd$ nsys profile --cudabacktrace=all -t cuda,cudnn,nvtx,mpi --output=./ ./vectorAdd WARNING: ARMv8 PMU is not available, enabling `sampling-trigger=perf` swit...
This is the error I am getting :" RuntimeError: Cannot re-initialize CUDA in forked subprocess. To use CUDA with multiprocessing, you - 37513
[VRay 6] Unexpected Low Performance on CUDA Vpath Tests for Blackwell GPUs [4915763] Adobe Substance 3D Painter texture corruption in baking results from GPU raytracing [5091781] After letting display go to sleep for an extended period, driver may crash when waking up monitor [5089560] [Steam...
RuntimeError: Cannot re-initialize CUDA in forked subprocess. To use CUDA with multiprocessing, you,我也是求解答的,先占个位置
What would be the logs/steps I should perform to find out why that is, as it still works just fine using the nvidia settings. As an aside, is there really a danger overclocking? I see people always warning about it but I overclocked the 1050 I have using the values 270mhz on the gp...